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Design and efficiency in graph-state computation

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arxiv 2502.18985 v1 pith:5EJ64KUN submitted 2025-02-26 quant-ph physics.comp-ph

classification quant-phphysics.comp-ph
keywords graphstatealgorithm-specificcircuitetchcircuit-etchingcomputationetching
verification ladder T0 review T1 audit T2 compute T3 formal

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The algorithm-specific graph and circuit etching are two strategies for compiling a graph state to implement quantum computation. Benchmark testing exposed limitations to the proto-compiler, Jabalizer giving rise to Etch (https://github.com/QSI-BAQS/Etch), an open-source, circuit-etching tool for transpiling a quantum circuit to a graph state. The viability of circuit etching is evaluated, both as a resource allocation strategy for distilling magic states and as an alternative to the algorithm-specific graph strategy as realised in Jabalizer. Experiments using Etch to transpile IQP circuits to an equivalent graph state resulted in higher ratios of Pauli qubits to non-Pauli qubit than required for efficient magic state distillation. Future research directions for the algorithm-specific graph and circuit-etching strategies are proposed.

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Cited by 1 Pith paper

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  1. AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization

    quant-ph 2026-08 conditional novelty 6.0 of 10

    AutoQuREO automates full-stack quantum resource estimation by learning surrogate models from small compilations and using them for scalable multi-objective co-design, demonstrated on Trotter simulation, iQPE with erro...

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